Study on scale development of boolean medicine data based on the GA and improved k-NN algorithm
Z Wang, Z Hou, Y Gao, Q Liu - 2008 International Conference …, 2008 - ieeexplore.ieee.org
The medicine data are Boolean ones in many situations, and the scale development based
on them has not been solved soundly, especially the items weight problem. The methods
combining GA and k-NN algorithm is often introduced to cope with the problem. But the
present improved k-NN algorithm do not adapt to the weight determination of scale's items. A
new improve methods named the LO-DFWS-based k-NN algorithm is put forward and
presented to reduce the heavy time cost problem of the traditional k-NN, especially for the …
on them has not been solved soundly, especially the items weight problem. The methods
combining GA and k-NN algorithm is often introduced to cope with the problem. But the
present improved k-NN algorithm do not adapt to the weight determination of scale's items. A
new improve methods named the LO-DFWS-based k-NN algorithm is put forward and
presented to reduce the heavy time cost problem of the traditional k-NN, especially for the …
Study on Scale Development of Boolean Medicine Data based on the GA and Improved k-NN Algorithm
W Zhen-hua, H Zhong-sheng, G Ying, L Qiang - 2008 International Conference … - infona.pl
The medicine data are Boolean ones in many situations, and the scale development based
on them has not been solved soundly, especially the items weight problem. The methods
combining GA and k-NN algorithm is often introduced to cope with the problem. But the
present improved k-NN algorithm do not adapt to the weight determination of scale's items. A
new improve methods named the LO-DFWS-based k-NN algorithm is put forward and
presented to reduce the heavy time cost problem of the traditional k-NN, especially for the …
on them has not been solved soundly, especially the items weight problem. The methods
combining GA and k-NN algorithm is often introduced to cope with the problem. But the
present improved k-NN algorithm do not adapt to the weight determination of scale's items. A
new improve methods named the LO-DFWS-based k-NN algorithm is put forward and
presented to reduce the heavy time cost problem of the traditional k-NN, especially for the …
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